Sr AI Automation Engineer - SDLC & GenAI Platforms

About Our Company We’re a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. Our team of 22,000 people across 19 countries, serves more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer.

Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses – Ameriprise Financial, Columbia Threadneedle Investments and River Source Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world.

Job Description Ameriprise Financial is seeking a Senior AI Automation Engineer to lead the next phase of AI-enabled SDLC maturity across Investment Technology. This role is responsible for defining, building, and scaling AI-driven automation across the software delivery lifecycle—leveraging Anthropic Cloud Code–based capabilities, agentic workflows, and enterprise-grade GenAI platforms.

The ideal candidate brings hands-on experience operationalizing LLMs at scale, deep understanding of modern SDLC practices, and a strong bias toward automation, governance, and measurable business outcomes. This role will directly influence how software is designed, built, tested, and deployed across Ameriprise.

AI-Enabled SDLC Transformation Define and execute a GenAI-augmented SDLC strategy, embedding AI across requirements, design, development, testing, deployment, and auditability.

Drive spec-to-code, code-to-test, and test-to-deployment automation using LLM-powered workflows aligned to enterprise SDLC standards
1.Partner with Architecture, Dev Sec Ops , Risk, and Compliance teams to ensure secure, governed, and auditable AI adoption.

Anthropic Cloud Code & Agentic Automation Serve as the subject matter expert for Anthropic Cloud Code capabilities, including:

Prompt engineering standards

Agent-based orchestration patterns

Secure model invocation and policy enforcement

Design and deploy agentic AI workflows to automate:

Requirements for elaboration and decomposition

Jira story and acceptance criteria generation

Unit, integration, and UAT test generationSDLC artifact and control evidence creation

Enterprise Platform Enablement Integrate AI automation into existing enterprise platforms (e.g., CI/CD pipelines, SDLC tooling, cloud platforms).Establish reusable AI components, frameworks, and guardrails for product and engineering teams.

Enable adoption through reference architectures, implementation patterns, and developer enablement.

Value Realization & Measurement Identify and quantify productivity, quality, and cycle-time improvements driven by AI.Define KPIs and success metrics tied to SDLC efficiency, developer experience, and risk reduction.

Support executive visibility into AI-driven outcomes and maturity progress.

Preferred Qualifications Experience integrating GenAI into requirements management, testing automation, and SDLC controls.

Familiarity with enterprise GenAI governance models, including model risk management and auditability.

Experience working in financial services or highly regulated industries.

Thought leadership in AI platforms, automation, or engineering productivity initiatives.

What Success Looks LikeAI-driven automation measurably reduces SDLC cycle time and manual effort.

Development teams consistently leverage AI-generated requirements, code, and tests within governed workflows.

Anthropic Cloud Code capabilities are adopted as a standard, reusable enterprise platform capability.

Ameriprise achieves a demonstrable increase in SDLC maturity, quality, and compliance efficiency through GenAI.Base Pay Salary The estimated base salary for this role is $128,000 - $168,000/ year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term…